Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...

Abstract: In traffic flow prediction, the efficacy of deep learning models is largely contingent upon the availability of extensive training datasets, presenting a formidable challenge in data-scarce ...